logiover/letterboxd-film-review-scraper-sample-data
Letterboxd Film & Review Scraper Extract film metadata, ratings, cast, genres & user reviews from Letterboxd. Supports film detail pages, user watchlists, curated lists & keyword search. Residential proxy required. No browser β static HTML only. What the actor scrapes π¬ Letterboxd Scraper β Films, Ratings, Reviews & User Data Scrape films, ratings, cast & crew, genres, and user reviews from Letterboxd, the world's leading social film-discoveryβ¦ See the full description on the dataset page: https://huggingface.co/datasets/logiover/letterboxd-film-review-scraper-sample-data.
Letterboxd Film & Review Scraper
Extract film metadata, ratings, cast, genres & user reviews from Letterboxd. Supports film detail pages, user watchlists, curated lists & keyword search. Residential proxy required. No browser β static HTML only.
What the actor scrapes
π¬ Letterboxd Scraper β Films, Ratings, Reviews & User Data Scrape films, ratings, cast & crew, genres, and user reviews from Letterboxd, the world's leading social film-discovery platform. This Apify Actor extracts structured data from Letterboxd film pages, user profiles, curated lists, and keyword search β perfect for anyone who needs a Letterboxd reviews API alternative or a clean Letterboxd dataset. Export everything to JSON or CSV for recommendation engines, sentiment analysis, an
Who this is for
This sample is useful for anyone working in social media, videos who wants a quick look at the shape of the data before running the live actor at scale. Treat it as a static snapshot β counts, prices and timestamps reflect the moment the sample was captured and will drift over time.
Source
Live source: This dataset is a static sample. For fresh, customizable extractions, run the live Apify actor: logiover/letterboxd-film-review-scraper
Fields
- `type` β field captured by the actor
- `filmSlug` β field captured by the actor
- `title` β item or page title
- `year` β field captured by the actor
- `director` β field captured by the actor
- `cast` β field captured by the actor
- `genres` β field captured by the actor
- `runtime` β timestamp
- `averageRating` β field captured by the actor
- `ratingsCount` β numeric count
- `language` β content language code
- `country` β country name or code
- `synopsis` β field captured by the actor
- `posterUrl` β URL reference
- `filmUrl` β URL reference
- `embeddedReviewCount` β numeric count
- `scrapedAt` β timestamp the row was scraped
- `reviews` β field captured by the actor
Sample preview
[
{
"type": "film",
"filmSlug": "the-godfather",
"title": "The Godfather",
"year": "1972",
"director": [
"Francis Ford Coppola"
],
"cast": [
"Marlon Brando",
"Al Pacino",
"James Caan",
"Robert Duvall",
"Richard S. Castellano"
],
"genres": [
"Crime",
"Drama"
],
"runtime": "175 mins",
"averageRating": 4.52,
"ratingsCount": 2666451,
"language": "English",
"country": "USA",
"synopsis": "Spanning the years 1945 to 1955, a chronicle of the fictional Italian-American Corleone crime family. When organized crime family patriarch, Vito Corleone barely survives an attempt on his life, his youngest son, Michael steps in to take care of the would-be killers, launching a campaign of bloody revenge.",
"posterUrl": "https://a.ltrbxd.com/resized/sm/upload/zp/bn/1x/6r/the-godfather-1200-1200-675-675-crop-000000.jpg?v=397832feef",
"filmUrl": "https://letterboxd.com/film/the-godfather/",
"embeddedReviewCount": 12,
"scrapedAt": "2026-05-15T10:54:27.672Z",
"reviews": [
{
"username": "wizardchurch",
"rating": null,
"reviewText": "haha they made that scene from zootopia into a movie",
"isSpoiler": false,
"likes": 31555
},
{
"username": "childrenofmen",
"rating": 4,
"reviewText": "santino died on his way to beat up his sister's abusive husband... thats one hella honorable way to go",
"isSpoiler": true,
"likes": 18794
},
{
"username": "cineflek",
"rating": 5,
"reviewText": "Leave the gun, take the cannoli",
"isSpoiler": false,
"likes": 14624
},
{
"username": "followtheblind",
"rating": 5,
"reviewText": "I don't trust anyone who dislikes this movie.",
"isSpoiler": false,
"likes": 13622
},
{
"username": "calv11111n",
"rating": 4.5,
"reviewText": "i said it once and i'll say it again...70's al pacino can like...get it",
"isSpoiler": false,
"likes": 13144
}
]
}
]Snapshot stats
- Row count in this sample: 1
- Data quality flag at capture time:
THIN
License & Attribution
Released under Creative Commons Attribution 4.0 (CC BY 4.0). If you use this data, please credit the source actor and link back to its Apify Store page: logiover/letterboxd-film-review-scraper.
The sample is provided as-is for evaluation and research. Source websites retain their own terms of service β downstream users are responsible for complying with them when running the live actor or redistributing scraped content.
